hannan 中文意思是什麼
hannan
解釋
漢南-
Hotel located in the well - known eastsea tourist area sanya of hannan. which is a five - star deluxe holiday hotel, surrounding mountains and sea, involving in the blue sky, seawater, beach etc
四周風光旖旎，沙潔白細柔，依山傍海，予藍天海水沙灘之包容。 -
Beijing youlong meeting center occupying 500 - mu area is a three - star holday hotel set up by youlong group investing almost 600, 000, 000 rmb and supervised by hannan airlines group
北京優龍會議中心佔地面積500畝，投資近6億，是由優龍集團投資興建、海航酒店（集團）有限公司管理的，集商務、會議、餐飲、住宿、娛樂、休閑為一體的三星級綜合場所。 -
Our company has 40 computer sewing enbroidering machines imported from tiandao of japan and hannan of s. korea. it is domestic sewing embroidering of the largest scale. the most advanced equipments and the best technics at present, specialized sewing embroidering factory. we also design various styles for bedding textile customers, and make sewing embroider products and special and speccial designs for garments
本公司擁有日本田島.韓國韓南進口電腦絎繡機40臺，是目前國內絎繡規模最大，設備最先進，技術力量一流，專業絎繡廠家，並能為床上用品客戶設計各種款式及成品貼牌加工和各種服裝的特殊花型絎繡（絎縫）製做加工! -
And we use spatial interpolation method to indicate different contents grades on thematic map with different colors ， to set up the soil nutrient information base in hannan district and draw an evaluateion map
運用空間插值法在專題圖上用不同的顏色將不同的含量等級表示出來，建立漢南區土壤養分信息庫，並繪制評價結果圖。 -
The efficient method improve the classical algorithm aprior and reduce times of scanning database to only once when obtain the k - frequent set from k - candidate set ; 4 ) design and realize a web log mining prototype system, and evaluate it by experiment with web log of hannan univercity
該方法以aprior演算法為基礎，將從k -項候選集確定k -項頻繁集時掃描數據庫的次數降為一次，有效地提高了挖掘演算法的效率。 4 ）設計和實現了一個web日誌挖掘原型系統。 -
Based on web log of hannan univercity, this paper focused on the following aspects : 1 ) aanalyze and reserch technology of web log mining ; 2 ) bring forward a multi - path partitioning cluster method, which partions and clusteres according to user access path to improve effiency ; 3 ) bring forward a hierarchy search and iterative method to find frequent set
本文結合海南大學web服務器日誌，主要研究了以下內容: 1 ） web服務器日誌挖掘技術進行了系統的分析和研究。 2 ）提出了多路徑分割聚類方法。這種方法根據用戶的訪問路徑進行分割聚類，有效地提高了聚類演算法的效率。
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